Reliability Assessment of Second-Life EV Batteries Using Probabilistic Deep Learning Models for State-of-Health Prediction
Accurate State-of-Health (SOH) prediction is essential for deploying retired electric vehicle batteries into reliable second-life energy storage systems. However, this task is challenged by sparse and noisy operational data from onboard Battery Management Systems (BMS). This study systematically evaluates a spectrum of...